Job responsibilities
- Applies technical expertise and problem-solving methodologies to provide support for multiple Cloud products and services within the firm
- Contribute to client Self-service capabilities by collaborating with partner teams.
- Troubleshoot complex priority incidents by strongly considering upstream/downstream data and systems or technical implications and advise on mitigation actions, while balancing the communication needs of each case
- Partner with engineering and product teams to ensure remediation/permanent closure of issues and to identify trending issues to drive product improvement
- Demonstrate a high aptitude for both learning and teaching as product teams are continually releasing new features and products
- Note: This role involves weekend on-call work and follows a global "follow-the-sun" model. The team provides 24/7 support through a distributed team across various time zones.
- Add to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on infrastructure disciplines concepts and 3+ years applied experience
- Deep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in public and private clouds (ex. AWS, Cloud Foundry, Kubernetes)
- Deep knowledge of one or more areas of infrastructure engineering such as networking, databases, storage, SDLC, integration, streaming, or IAM
- Deep knowledge of at least one specific technology (ex. Kafka, Cassandra, S3) and one programming/scripting language (ex. Java, Python, Unix Shell Scripting, PowerShell)
- A drive to continue to develop technical and cross-functional knowledge
- Familiarity with working in a large distributed system across a range of technologies including compute, databases, messaging, observability, and telemetry
- Knowledge of incident, change, and problem management processes
- AWS certification(s)
Preferred qualifications, capabilities, and skills
- Significant programming background in any applicable language
- Kubernetes, Azure, GCP, or Terraform or AWS certifications